giou: 0.1  # giou loss gain 1.582
cls: 27.76  # cls loss gain  (CE=~1.0, uCE=~20)
cls_pw: 1.446  # cls BCELoss positive_weight
obj: 20.35  # obj loss gain (*=80 for uBCE with 80 classes)
obj_pw: 3.941  # obj BCELoss positive_weight
iou_t: 0.1  # iou training threshold
ang_t: 3.1415926/12
reg: 1.0
lr0: 0.00005
multiplier:10
lrf: -4.  # final LambdaLR learning rate = lr0 * (10 ** lrf)
momentum: 0.97  # SGD momentum
weight_decay: 0.0004569  # optimizer weight decay
fl_gamma: 0.5  # focal loss gamma
hsv_s: 0.5  # image HSV-Saturation augmentation (fraction)
hsv_v: 0.3  # image HSV-Value augmentation (fraction)
degrees: 5.0  # image rotation (+/- deg)
translate': 0.1  # image translation (+/- fraction)
scale: 0.2  # image scale (+/- gain)
shear: 0.5
gamma:0.3
blur:2.0
noise:0.02
contrast:0.3
sharpen:0.3